scholarly journals The impact of climate change on soil water balance and agricultural production sustainability in Mediterranean part of Bosnia and Herzegovina

2020 ◽  
Vol 53 (1) ◽  
pp. 125
Author(s):  
Melisa Ljusa ◽  
Hamid Custovic ◽  
Sabina Hodzic
Keyword(s):  
Water Balance ◽  
Soil Water ◽  
Bosnia And Herzegovina ◽  
Calculated Data ◽  
Vegetation Period ◽  
Soil Water Balance ◽  
Monthly Precipitation ◽  
The World ◽  
The Impact

<p>The world agriculture uses about 70% of the world water resources in irrigation. The concern over the sustainability of water use as demand for agricultural, industrial, and domestic uses continues to increase. Conflicts between particular sectors result in tensions, which sometimes lead to “water wars” in different parts of the world. It is the reason why many national and international organizations are putting the water quantity and quality questions on the top of the world’s open questions/problems. The main aim of this paper is to present soil water balance of the Mediterranean region of Bosnia and Herzegovina, prepared for a long-term time series for two locations (Trebinje and Mostar) annually and during the vegetation period. The mean long-term data has been used as a base for future predicted calculation. The predicted PET was based on an increase in air temperature by 2°C and predicted decrease in precipitation by 25%. With so predicted calculated data of monthly PET and monthly precipitation the predicted soil water balance was done.</p>

scholarly journals Assessing the Impact of LAI Data Assimilation on Simulations of the Soil Water Balance and Maize Development Using MOHID-Land

Water ◽  
2018 ◽  
Vol 10 (10) ◽  
pp. 1367 ◽  
Author(s):  
Tiago Ramos ◽  
Lucian Simionesei ◽  
Ana Oliveira ◽  
Hanaa Darouich ◽  
Ramiro Neves
Keyword(s):  
Data Assimilation ◽  
Water Balance ◽  
Soil Water ◽  
Hydrological Modeling ◽  
Soil Water Balance ◽  
Landsat 8 ◽  
State Variables ◽  
Area Index ◽  
Final Model ◽  
The Impact

Hydrological modeling at the catchment scale requires the upscaling of many input parameters for better characterizing landscape heterogeneity, including soil, land use and climate variability. In this sense, remote sensing is often considered as a practical solution. This study aimed to access the impact of assimilation of leaf area index (LAI) data derived from Landsat 8 imagery on MOHID-Land’s simulations of the soil water balance and maize state variables (LAI, canopy height, aboveground dry biomass and yield). Data assimilation impacts on final model results were first assessed by comparing distinct modeling approaches to measured data. Then, the uncertainty related to assimilated LAI values was quantified on final model results using a Monte Carlo method. While LAI assimilation improved MOHID-Land’s estimates of the soil water balance and simulations of crop state variables during early stages, it was never sufficient to overcome the absence of a local calibrated crop dataset. Final model estimates further showed great uncertainty for LAI assimilated values during earlier crop stages, decreasing then with season reaching its end. Thus, while model simulations can be improved using LAI data assimilation, additional data sources should be considered for complementing crop parameterization.

scholarly journals The soil water balance and the development of spring soft wheat under various cultivation technologies

2019 ◽  
Vol 9 (4) ◽  
pp. 723-728 ◽  
Author(s):  
V. I. Belyaev ◽  
M. M. Silanteva ◽  
A. V. Matsyura ◽  
L. V. Sokolova
Keyword(s):  
Soil Moisture ◽  
Water Balance ◽  
Soil Water ◽  
Water Consumption ◽  
Soil Layer ◽  
Growing Season ◽  
Vegetation Period ◽  
Soil Water Balance ◽  
Soft Wheat ◽  
Spring Soft Wheat

The steppe zone has always attracted people with its resources, despite the fact that it is a zone of risky agriculture. In this research we discovered that soil water balance under the spring soft wheat was negative most of the time of the vegetation period in the Rebrikhinsky district of the Altai Region, and soil moisture consumption during the observation period depends on the technology options and an average values was in the range from 100.9 mm to 131.9 mm. An average soil moisture consumption was 42.5% of spring moisture reserves. In the plots where autumn soil cultivation was not carried out, the average water consumption for the vegetation period was 41.7% of the spring moisture reserves, while in those plots where it was 43.2%, i.e., only 1.5% more. The absence of both autumn and spring tillage led to the consumption of 38.8% moisture from spring soil moisture reserves during the growing season. In the case when only spring tillage was carried out, this value was 44.7%, and if both cultivations were carried out - 43.2%. The difference in the sowing rates practically did not affect the total moisture consumption from the soil, it amounted to 42.2-42.8% of the spring moisture reserves. The maximum difference in water consumption was found when comparing the equipment used for spring tillage and sowing. So, when using Catros and DMC-9000, respectively, an average of 47.5% of spring moisture reserves was spent during the growing season, while using Russian-made equipment – KPE-3,8 or BDM-6*4 and SZP-3.6А, it was 38.9%. The moisture reserves in the meter soil layer decreased in direct proportion to the increase in average plant height.

scholarly journals Sensitivity of a data-driven soil water balance model to estimate summer evapotranspiration along a forest chronosequence

2011 ◽  
Vol 15 (11) ◽  
pp. 3461-3473 ◽  
Author(s):  
J. A. Breña Naranjo ◽  
M. Weiler ◽  
K. Stahl
Keyword(s):  
Water Balance ◽  
Soil Water ◽  
Eddy Covariance ◽  
Water Balance Model ◽  
Soil Water Balance ◽  
Data Driven ◽  
Balance Model ◽  
Rooting Depth ◽  
Computational Time

Abstract. The hydrology of ecosystem succession gives rise to new challenges for the analysis and modelling of water balance components. Recent large-scale alterations of forest cover across the globe suggest that a significant portion of new biophysical environments will influence the long-term dynamics and limits of water fluxes compared to pre-succession conditions. This study assesses the estimation of summer evapotranspiration along three FLUXNET sites at Campbell River, British Columbia, Canada using a data-driven soil water balance model validated by Eddy Covariance measurements. It explores the sensitivity of the model to different forest succession states, a wide range of computational time steps, rooting depths, and canopy interception capacity values. Uncertainty in the measured EC fluxes resulting in an energy imbalance was consistent with previous studies and does not affect the validation of the model. The agreement between observations and model estimates proves that the usefulness of the method to predict summer AET over mid- and long-term periods is independent of stand age. However, an optimal combination of the parameters rooting depth, time step and interception capacity threshold is needed to avoid an underestimation of AET as seen in past studies. The study suggests that summer AET could be estimated and monitored in many more places than those equipped with Eddy Covariance or sap-flow measurements to advance the understanding of water balance changes in different successional ecosystems.

Spatial and temporal variability of soil horizons and long-term solute transport under semi-arid conditions

2013 ◽  
Vol 93 (2) ◽  
pp. 173-191 ◽  
Author(s):  
S. A. Woods ◽  
M. F. Dyck ◽  
R. G. Kachanoski
Keyword(s):  
Spatial Distribution ◽  
Water Balance ◽  
Soil Water ◽  
Temporal Variability ◽  
Soil Water Balance ◽  
Spatial And Temporal Variability ◽  
Soil Horizons ◽  
Deep Drainage ◽  
Semi Arid

Woods, S. A., Dyck, M. F. and Kachanoski, R. G. 2013. Spatial and temporal variability of soil horizons and long-term solute transport under semi-arid conditions. Can. J. Soil Sci. 93: 173–191. Characterizing the spatial and temporal variability of deep drainage is required for quantifying risks to groundwater resources associated with chemicals released into the soil. A variety of approaches are available to characterize the spatial variability of deep drainage, including complex, spatially explicit hydrological models or simpler, distributed soil water balance models. There is no clear understanding which approach is most appropriate for a given landscape. In this paper we compare the spatial distribution of an applied chloride tracer to pedogenic nitrate and sulphate salts, subject to transport in the soil over decadal to millennial time scales, to characterize the relative spatial and temporal differences in deep drainage at a site in southern Saskatchewan. Comparison of the spatial distribution of the salts with differing soil residence times showed that the soil water balance and deep drainage fluxes have changed significantly over time in some parts of the landscape because of infilling of surface depressions as indicated by the presence of buried A horizons. At larger scales, the distribution of the salts showed very little correspondence to the spatial distribution and thicknesses of soil horizons (often used to infer spatial variability in soil water balance), but was more consistent with the scale of the surface topography. Thus it was concluded that spatial and temporal changes in surface topography (i.e., catchment area) were the primary factors responsible for the observed transport of the salts. We propose that this site is representative of the cold, semi-arid prairies and that these conclusions likely apply to this region.

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